# FAQ Bot – ChromaDB + LangChain

This project implements a simple FAQ bot that answers user questions based on a predefined FAQ dataset.  
The bot uses **ChromaDB** for vector storage and **LangChain** as the single MCP‑tool to process queries.

## Features

- Persistent vector store (ChromaDB) – data is saved to disk and reused across runs.
- Retrieval‑based QA using LangChain’s `RetrievalQA` chain.
- Simple command‑line interface.
- Unit tests covering vector store creation, bot answering, and unknown‑question handling.

## Setup

```bash
# Create a virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate   # On Windows use `.venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt
```

## Usage

```bash
python src/main.py
```

You will be prompted to type a question. The bot will reply with the best answer from the FAQ dataset.

## Running Tests

```bash
pytest
```

All tests should pass.

## FAQ Dataset

The dataset is embedded in the code (3 entries). Feel free to extend it in `src/vector_store.py`.

## License

MIT License